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临床试验/ISRCTN11764942
ISRCTN11764942已完成未知

Towards targeted dietary support for shift-workers with type 2 diabetes: a mixed-method study

King's College London0 个研究点目标入组 40 人开始时间: 2020年2月25日最近更新:
适应症

试验速览

阶段
未知
状态
已完成
入组人数
40

研究概览

简要总结

2021 Protocol article in https://doi.org/10.1111/dme.14714 (added 26/08/2022) 2023 Results article in https://pubmed.ncbi.nlm.nih.gov/37452826/ (added 20/07/2023)

研究设计

研究类型
Observational

入排标准

性别
All

入选标准

  • •Current participant inclusion criteria as of 27/01/2022:
  • •1. Male and female
  • •2. Aged between 18 and 60 years old
  • •3. Type 2 diabetes diagnosed by healthcare professional
  • •4. Diabetes should be managed only by lifestyle (diet, activity), or medications not associated with hypoglycemic risk (e.g. acarbose, metformin DPP4 inhibitors, SGLT2 inhibitors)
  • •5. Currently work a rotating and/or mixed shift pattern that includes regular night shifts (a minimum of 4 nights per month) as well as other types of shifts (e.g., days, early, or late shifts). A night shift is defined as a period of work between 11 pm and 6 am. The monitoring period needs to include 3-night shifts (either arranged in 3 consecutive night shifts or 2 consecutive night shifts and another single night shift), another type of shift (for example, day or early shifts), and rest days
  • •6. Work in a hospital or residential care setting - any job role. Healthcare sector employees represent one of the largest employers of night workers in the UK.
  • •7. Not diagnosed with or currently requiring active treatment (e.g. chemotherapy, immunotherapy, or radiotherapy for cancer) for any of the following conditions: heart attack, stroke, angina, thrombosis, kidney disease, liver disease, cancer
  • •8. No recent history (last 5 years) of excess alcohol intake or substance abuse
  • •9. No recent weight change (lost or gained) by more than 3 kg/7 lb (in the last 2 months)
  • •10. Not started new medication within the last 3 months likely to interfere with energy metabolism, appetite regulation, and hormonal balance, including anti-inflammatory drugs or steroids, antibiotics, androgens, phenytoin, erythromycin, or thyroid hormones
  • •Previous inclusion criteria as of 21/09/2021:
  • •1. Male and female
  • •2. Aged between 18 and 60 years old
  • •3. Type 2 diabetes diagnosed by healthcare professional
  • •4. Diabetes should be managed only by lifestyle (diet, activity), or medications not associated with hypoglycemic risk (e.g. acarbose, metformin DPP4 inhibitors, SGLT2 inhibitors)
  • •5. Currently work a rotating and/or mixed shift pattern that includes regular night shifts (a minimum of 4 nights per month) as well as other types of shifts (e.g., days, early or late shifts). A night shift is defined as a period of work between 11 pm and 6 am. The monitoring period needs to include 3-night shifts (either arranged in 3 consecutive night shifts or 2 consecutive night shifts and another single night shift), another type of shift (for example, day or early shifts) and rest days
  • •6. Work in a hospital or residential care setting - any job role. (Healthcare sector employees represent one of the largest employers of night workers in the UK.)
  • •7. No history of heart attack, stroke, angina, thrombosis, liver or kidney diseases, chronic gastrointestinal disorder or cancer
  • •8. No history of excess alcohol intake or substance abuse
  • •9. No recent weight change (lost or gained) by more than 3 kg/7 lb (in the last 2 months)
  • •10. Not started new medication within the last 3 months likely to interfere with energy metabolism, appetite regulation and hormonal balance, including anti-inflammat

排除标准

  • •1. Females, who are pregnant or intending to become pregnant, or currently breastfeeding
  • •2. Taking medications associated with hypoglycaemia (e.g. insulin, sulphonylureas (such as glicazide or glimepiride)
  • •3. No travel arrangements outside UK within the period of data collection - data needs to be collected across a persons typical working period
  • •4. Not already participating in a clinical trial - as likely to influence behaviour and/or glucose variability

研究者

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